Senior Research Associate in Vehicle-Grid Integration Modelling

This fixed-term Senior Research Associate role focuses on vehicle-grid integration modelling for Project SUITE, aiming to forecast EV flexible capacity and incorporate EVs as balancing assets. Key responsibilities include leading technical contributions to machine learning model development for V2G, assisting with project management, and disseminating research findings. Essential requirements include a PhD in a relevant field, proven machine learning algorithm development experience, data analysis and reporting skills, and collaborative working abilities.

• As part of our commitment to career development for research colleagues, the University has developed 3 levels of Research Innovation Role Profiles.pdf .
• These profiles set out firstly the generic competencies and responsibilities expected of role holders at each level and, secondly, the general qualifications and experiences needed for entry at a particular level.
• Project SUITE introduces disruptive, vehicle integrated innovations that unlock strategic benefits for customers and the broader energy system, matching the Innovation stream of Innovate UK’s DRIVE35 programme.
• Through cross sector collaboration with UK experts from industry and academia, project SUITE will explore the design and development of Integrated Energy Technologies for Zero Emission Vehicles.
• Newcastle University will build on Nissan's vehicle-to-grid (V2G) machine learning model, to accurately forecast EV flexible capacity, allowing for system level innovation by incorporating EVs as essential balancing assets into the UK energy grid.
• The post holder will lead the technical contributions to the tasks associated with this activity as well as assisting with the management and coordination of Newcastle’s wider involvement in project SUITE.
• Newcastle University is committed to the responsible use of research metrics as part of our research culture and research strategy.
• We advocate for the transparent, appropriate, and inclusive use of metrics, guided by expert judgment, to support high-quality, impactful research that is open, collaborative and sustainable.
• Click here for our full policy statement on the Responsible use of Research Metrics.
• Click here for a self-study e-learning module on the Responsible Use of Research Metrics.
• Find out more about the Faculty here: https://www.ncl.ac.uk/sage/
• Find out more about our Research Institutes: https://tinyurl.com/mr3wet47 and https://tinyurl.com/yb9cn53r
• Contact for the post is roberto.palacin@ncl.ac.uk
• Duration of post is 2 years
• Please upload your CV and cover letter, evidencing how your skills and experience align to the requirements of the person specification as found in job description.
• Support the PI and Co-I in coordinating all technical and management activities related to Newcastle University contributions to the project including but not limited to monitor and, where appropriate, manage research resources effectively
• Play a leading role in the team, including progressively larger and/or more complex projects, or as an individual researcher in their specific research area
• Contribute ideas, including enhancements to the technical or methodological aspects of the project
• Determine appropriate methodologies for research
• Assess research findings for the need/scope for further investigations

• Newcastle University is a global University where everyone is treated with dignity and respect. As a University of Sanctuary, we aim to provide a welcoming place of safety for all, offering opportunities to people fleeing violence and persecution.
• We value diversity as well as celebrate, support and thrive on the contributions of all of our employees and the communities they represent.
• At Newcastle University we hold a Gold Athena Swan award in recognition of our good employment practices for the advancement of gender equality.
• We also hold a Race Equality Charter Bronze award in recognition of our work towards tackling race inequality in higher education REC.
• We are a Disability Confident employer and will offer an interview to disabled applicants who meet the essential criteria for the role as part of the offer and interview scheme.
• In addition, we are a member of the Euraxess initiative supporting researchers in Europe.
• Attention to detail and ability to work at high levels of accuracy
• Ability to present complex information effectively to a range of audiences
• Proven ability to analyse data and write-up results
• Experience of working collaboratively with colleagues
• Excellent IT skills in all major office applications
• The ability to use personal initiative and creativity to solve research problems
• Awareness of the research environment
• High level of analytical and problem solving capacity
• Ability to communicate complex information with clarity
• Experience of presentations at conferences and/or in high quality publications
• Knowledge of/Ability to/Experience of using and developing machine learning algortithms
• Honours degree in engineering, computing science or related areas
• PhD in power systems analytics, modelling of transport-energy interactions or similar